• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Managing Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
IJIMT 2013 Vol.4(1): 90-92 ISSN: 2010-0248

Bearing Fault Analysis Using Frequency Analysis and Wavelet Analysis

Milind Natu

Abstract—Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machineries can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA),cestrum analysis, Model based analysis, etc. This Paper explains the procedure for detecting bearing faults using FFT and by using Wavelet analysis more specifically HAAR wavelet up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB.

Index Terms—Fault diagnosis, bearings, wavelet Analysis methods.

M. Natu is with Electrical Engineering Department ADCET Ashta (email:milind.natu1@gmail.com).


Cite: Milind Natu, "Bearing Fault Analysis Using Frequency Analysis and Wavelet Analysis," International Journal of Innovation, Management and Technology vol. 4, no. 1, pp. 90-92, 2013.

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